Robotics Engineer, Hardware Integrations

Build the hardware and software infrastructure that lets intelligent robots learn, operate, and scale in the real world. In this role you will bring up new robotic platforms, integrate sensors and perception hardware, design reliable multimodal data pipelines, and enable researchers to prototype and deploy capabilities quickly. You will work within the Robotics Lab at micro1, an AI data lab focused on creating high quality training data and evaluations for frontier models.

• Bring up, integrate, and maintain robotic platforms, including humanoids, robotic manipulators, mobile robots, and custom end effectors.
• Create and maintain integrations with ROS 2, vendor hardware SDKs, and custom control interfaces.
• Design and operate scalable data collection pipelines for multimodal robotics datasets, covering RGB, depth, IMU, force and torque, and joint telemetry. Use and produce formats such as ROS Bag, HDF5, Parquet, and MP4.
• Develop reliable teleoperation systems focused on low-latency control, observability, and operator experience.
• Build and optimize real-time video streaming infrastructure using WebRTC, RTSP, FFmpeg, GStreamer, and HLS.
• Integrate, synchronize, and calibrate advanced perception hardware, including Intel RealSense, Luxonis OAK-D, ZED, FLIR, GigE, and USB camera systems.
• Diagnose hardware, networking, and system-level issues across lab and remote deployments, supporting robot bring-up, maintenance, and fleet operations.
• Improve developer tooling, automation, and documentation to increase reliability and research velocity.
• Partner closely with researchers and engineers to rapidly prototype, test, and iterate on new robotic capabilities.

• Required skills: ROS 2, teleoperation, robotics data pipelines, and real-time video streaming.
• Strong programming skills in Python and C++, with working knowledge of C#.
• Experience with Ubuntu or other Linux distributions, Docker, Git, and shell scripting.
• Proven experience integrating robotics hardware through vendor SDKs and low-level hardware APIs.
• Solid understanding of networking fundamentals, including TCP/IP, SSH, VPNs, REST or gRPC, and WebSockets.
• Hands-on experience building teleoperation systems and real-time video streaming infrastructure.
• Experience integrating and calibrating multimodal sensor systems including RGB, depth, stereo, and IMU sensors.
• Familiarity managing large robotics datasets using cloud object storage such as AWS S3 or Cloudflare R2.
• Strong debugging skills across hardware, software, networking, and embedded systems.
• Comfortable working in a fast-paced, experimental environment where priorities change rapidly.

Preferred experience

• Supporting fleets of robots in production or research settings.
• Familiarity with distributed robotics infrastructure and remote diagnostics.
• Building tooling for robotics data collection, evaluation, or simulation.
• Contributions to open-source robotics software or robotics research projects.
• Experience with autonomous systems, computer vision, or embodied AI.

• Employment type: Full-time.
• Location requirement: On-site in San Francisco.
• Team: Robotics Lab, core hardware integrations role supporting research and deployment.

• Salary range: $200, 000 to $300, 000 per year.